Databricks, every mention

22 scenes (2024), the whole family · ← back to Databricks

mentionsepisodesper episode tap a year for its mentions

Verbatim, from the transcripts: the passages where Databricks comes up

loading…

▶ 48:50 Florian Douetteau Amazon or Databricks or Snowflake provide new technologies that we can integrate in order to further push the bar of what's simple to do in the enterprise, and that's our focus.

▶ 16:59 Nathan Benaich Probably Databricks, and Databricks and Snowflake, probably more Databricks will be like this, um, this like enabler of, of open source. 2 times in the scene

▶ 39:28 Aman Kabeer It's Snowflake and Databricks, I think both released models at some point over the past year as well.

▶ 2:00 Jordan Tigani The, you know, the sort of Databricks versus Snowflake, kind of, they had this benchmarking war, and, um, and everybody is focused on, like, the, the, the, you know, the war between Databricks and Snowflake, and to me, the biggest thing… 2 times in the scene
▶ 8:45 Matt Turck Uh, if you already have, uh, you know, BigQuery in place or Snowflake or Databricks or like the whole, like, big data, uh, kind of infrastructure or modern data stack, whatever you call it,
▶ 45:23 Matt Turck Tabular by Databricks and the rise precisely of those open data format.

▶ 5:39 Ali Dasdan You can go to, you know, AWS, uh, Databricks, 2 times in the scene

▶ 22:46 Sharon Zhou Similar to, you can think of as a Databricks or Snowflake model, um, of compute, like being able to manage that compute.

▶ 41:19 Matt Turck Horizontal infrastructure layer and that's the Databricks and the snowflakes and, and there's a horizontal application layer and that's the Salesforce and the HubSpot and so on and so forth.

▶ 0:32 Tomasz Tunguz I think you'll see, like, Snowflake and Databricks being really inquisitive.
▶ 35:18 Tomasz Tunguz Snowflake and Databricks is a dominant battle here, and Snowflake clearly with Sridhar and with Barish running AI, you can see like the pace of innovation coming out of that business now. 7 times in the scene
▶ 38:35 Tomasz Tunguz Well, you know, Databricks, the SQL products, two hundred million in revenue doubling.
▶ 38:35 Tomasz Tunguz Well, you know, Databricks, the SQL products, two hundred million in revenue doubling.
▶ 46:18 Matt Turck You know, you said should be acquired by Data Break of the Snowflake.

▶ 0:16 Matt Turck Vast is building the data layer for Generative AI, a huge market opportunity, which puts it in direct competition with Snowflake and Databricks.
▶ 6:43 Matt Turck Why did you, because, um, and maybe we can get into this at the same time, you know, there's a number of other companies that are hoping to be the software data layer for generative AI, like that's the Databricks of the world, there's the…

▶ 7:18 Matt Turck Like, the, the data breaks, uh, in the world in, in, uh, in particular.
▶ 44:12 Matt Turck Like houses, like Databricks, although all of this has been converging. 3 times in the scene

▶ 0:28 Florian Douetteau AI and ML Partner for the year for Databricks, Snowflake, AWS.
▶ 22:58 Florian Douetteau And so we are part of this movement where typically our customers would also set up cloud data warehouses or data lake, such as Snowflake and Databricks, and we would be a layer on top, helping the overall orchestration and ease of use by… 3 times in the scene

▶ 15:56 Matt Turck So you mentioned, you know, we're not going to all go back to Microsoft, but, um, you know, if you look at players and like the, the key, uh, sort of central repositories like the, you know, snowflakes and the data breaks, like that, there… 3 times in the scene
▶ 33:38 Tristan Handy Both Databricks and Snowflake and all the hyperscaler offerings are going to do a great job integrating AI because then it means that it won't just be

Turn any episode into a week of clips.